SCOPUS 정보 검색 플랫폼

Advances in Engineering Software

Volumn 41, Issue 2, 2010, Pages 148-153

Investigation of self-organizing map for genetic algorithm

(3) Kita, Eisuke a Kan, Shen a Fei, Zhai a

a NAGOYA UNIVERSITY (Japan)

Author keywords

Genetic algorithm; Real coded GA; Self organizing maps

Indexed keywords

CONFORMAL MAPPING; GENETIC ALGORITHMS; LEARNING ALGORITHMS; STRENGTH OF MATERIALS; THREE TERM CONTROL SYSTEMS;

COMBINATIONAL ALGORITHM; COMPUTATIONAL COSTS; CONVERGENCE SPEED; CPU TIME; LOCAL SEARCH; REAL-CODED GA; REAL-CODED GENETIC ALGORITHM; SEARCH ALGORITHMS; SEARCH PERFORMANCE; SUB-POPULATIONS; TEST FUNCTIONS;

SELF ORGANIZING MAPS;

EID: 70449528324 PISSN: 09659978 EISSN: None Source Type: Journal
DOI: 10.1016/j.advengsoft.2009.09.011 Document Type: Article

Times cited : (19)

References (7)

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2
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- Whitley Darrell, Goldberg David, Cantu-Paz Erick, Spector Lee, Parmee Ian, Beyer Hans-Georg, editors
- Takahashi O, Kita H, Kobayashi S. A real-coded genetic algorithm using distance dependent alternation model for complex function optimization. In: Whitley Darrell, Goldberg David, Cantu-Paz Erick, Spector Lee, Parmee Ian, Beyer Hans-Georg, editors. Proceedings of genetic and evolutionary computation conference (GECCO2000); 2000. p. 219-26.
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- Takahashi, O.¹ Kita, H.² Kobayashi, S.³

3
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- A comparison study of self-adaptation in evolution strategies and real-coded genetic algorithms, evolutionary computation
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4
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- Springer Verlag
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- Kohonen, T.¹

5
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- John Wiley & Sons
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6
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- Self-organizing maps for multi-objective optimization
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7
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- A crossover operator using independent component analysis forreal-coded genetic algorithms
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.